jobs in YOKOGAWA ENGINEERING ASIA PTE LTD

YOKOGAWA ENGINEERING ASIA PTE LTD Hiring! Full Time AI Engineer (Process Industry) in East Region (Singapore), Earn up to SGD 8,000 - Ricebowl

AI Engineer (Process Industry)

YOKOGAWA ENGINEERING ASIA PTE LTD

SGD8,000 - SGD8,000 Per Month

East Region (Singapore)

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Working Location

  • 5 BEDOK SOUTH ROAD East Region (Singapore) Singapore

Job Description

Responsibilities

Responsibilities

  • Develop and implement AI models for predictive & prescriptive analytics in industrial applications.
  • Process Optimization, and Autonomous Operations in asset-intensive industries such as Oil & Gas, Mining, and Utilities.
  • Build and integrate machine learning, deep learning, and generative AI models (LLMs, RAG, multi-agent systems).
  • Work with industrial data platforms (SCADA, DCS, PLC, Historians, MES, ERP) to ensure seamless AI integration.
  • Deploy AI solutions in cloud-based environments, ensuring scalability and reliability.
  • Apply industrial AI ethics and best practices to ensure compliance and responsible AI usage.
  • Collaborate with cross-functional teams to translate AI research into practical, high-impact solutions.

Requirements

  • Bachelor’s/master’s in computer science, AI, Machine Learning, or related field.
  • At least 5 years of experience in applying AI/ML in asset-intensive industries such as oil & gas, utilities, or mining.
  • Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and Keras.
  • Proven experience in Generative AI – Meta LLaMA, OpenAI GPT, DeepSeek R1, Anthropic Claude, etc., and RAG & vector embeddings for optimized knowledge retrieval and decision-making, and multi-agent systems for industrial applications.
  • Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.
  • Experience with SCADA, DCS, PLCs, smart sensors, IoT platforms, and Historians.
  • Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.
  • Experience in Reliability Analytics and Condition-Based Maintenance (CBM)
  • Familiarity with multi-agent systems for collaborative decision-making and goal-seeking AI agents
  • Familiarity with KPI monitoring, criticality and risk assessment, and asset strategy optimization



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